Cargando…
Beyond comparisons of means: understanding changes in gene expression at the single-cell level
Traditional differential expression tools are limited to detecting changes in overall expression, and fail to uncover the rich information provided by single-cell level data sets. We present a Bayesian hierarchical model that builds upon BASiCS to study changes that lie beyond comparisons of means,...
Autores principales: | Vallejos, Catalina A., Richardson, Sylvia, Marioni, John C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4832562/ https://www.ncbi.nlm.nih.gov/pubmed/27083558 http://dx.doi.org/10.1186/s13059-016-0930-3 |
Ejemplares similares
-
Correcting the Mean-Variance Dependency for Differential Variability Testing Using Single-Cell RNA Sequencing Data
por: Eling, Nils, et al.
Publicado: (2018) -
Correcting the Mean-Variance Dependency for Differential Variability Testing Using Single-Cell RNA Sequencing Data
por: Eling, Nils, et al.
Publicado: (2019) -
BASiCS: Bayesian Analysis of Single-Cell Sequencing Data
por: Vallejos, Catalina A., et al.
Publicado: (2015) -
scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution
por: Kapourani, Chantriolnt-Andreas, et al.
Publicado: (2021) -
Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
por: L. Lun, Aaron T., et al.
Publicado: (2016)